DevOps Training in Nepal, 3-Month Hands-On Course
Learn DevOps engineering from containerization with Docker to orchestration with Kubernetes, CI/CD automation with Jenkins and GitHub Actions, cloud infrastructure on AWS, and Infrastructure as Code with Terraform. Live classes at New Baneshwor, Kathmandu with weekend and evening batches for working professionals.
What This Course Is
The DevOps Engineering course at Next Minds Infosys is a 3-month, project-based training program for developers, sysadmins and IT professionals who want to learn DevOps with real tools, real deployments and real infrastructure. This is not a theory course with slides about "the DevOps philosophy". You will containerize applications, build CI/CD pipelines, deploy to AWS, provision infrastructure with Terraform, and set up monitoring dashboards with Prometheus and Grafana.
We designed this course around what companies actually test for in interviews. When Leapfrog, CloudFactory or Fusemachines interview a DevOps candidate, they do not ask you to define CI/CD. They hand you a broken pipeline or a misconfigured Kubernetes cluster and ask you to fix it. Every module here is built to prepare you for that moment.
DevOps is one of the highest-paying technical roles in Nepal right now. Mid-level DevOps engineers in Kathmandu earn NPR 80,000 to 1,50,000 per month, and senior engineers working with international or remote companies earn significantly more. Demand is growing faster than the supply of qualified professionals. If you are a developer or sysadmin looking to move into a high-demand, high-paying role, this is the most direct path.
Common Mistakes We See in Every DevOps Cohort
We have trained 175+ students in this course. These three mistakes come up most often.
Jumping to Kubernetes before being solid on Docker. Kubernetes orchestrates containers. If you do not understand how containers work, what a Dockerfile does, or how Docker networking functions, Kubernetes will be incomprehensible. Every cohort has students who want to skip Module 2 and go straight to "the Kubernetes stuff". We do not allow it. Get Docker right first.
Memorising commands without understanding what they do. Running kubectl apply -f deployment.yaml is not the same as understanding what that YAML creates, why you chose a Deployment over a DaemonSet, or what happens when a pod crashes. Interview questions are not "type this command". They are "this pod is stuck in CrashLoopBackOff, what do you do?" Understanding beats memorisation every time.
Building a pipeline that works once and calling it done. A pipeline that deploys your app on a sunny day is not production-ready. What happens when a test fails? When the Docker build cache is stale? When the target environment is down? Real DevOps work is about handling failure gracefully, and the Module 4 capstone forces you to think through those edge cases.
What You Will Be Able to Do After This Course
- Containerize any application with Docker, write production-ready Dockerfiles, and manage multi-container setups with Docker Compose
- Deploy and manage applications on Kubernetes, including pods, services, deployments, ConfigMaps and persistent volumes
- Build end-to-end CI/CD pipelines in Jenkins and GitHub Actions, from commit to automated testing to deployment
- Provision and manage AWS infrastructure (EC2, S3, EKS, RDS, VPC, IAM) through both the console and the CLI
- Write Infrastructure as Code with Terraform to create, modify and version cloud resources
- Set up monitoring and alerting dashboards with Prometheus and Grafana
- Manage Linux servers confidently: users, processes, networking and shell scripting
- Write Bash scripts to automate repetitive operational tasks
- Troubleshoot deployment failures, networking issues and container runtime problems
- Walk into a DevOps interview with documented projects showing real pipelines, deployments and monitoring setups
Who Is This DevOps Engineering Course For?
Software developers moving into DevOps or SRE roles who want to own the delivery pipeline from commit to production
System administrators modernising from manual server management to Kubernetes, Terraform and AWS
IT operations professionals learning containerization, orchestration and Infrastructure as Code for cloud migrations
Team leads and engineering managers who need to understand the toolchain well enough to make architecture and tooling decisions
Career switchers from networking or IT support whose existing Linux knowledge is an advantage, not a disadvantage
What You Will Learn
5 modules- Linux file system, directory structure and permissions
- User and group management
- Process management: ps, top, systemctl, kill
- Package management: apt, yum, snap
- Networking fundamentals: IP addressing, subnets, DNS, HTTP/HTTPS, TCP/UDP
- Firewall configuration with iptables and ufw
- SSH key management and secure remote access
- Bash scripting: variables, loops, conditionals, functions and automation scripts
- Cron jobs and task scheduling
- Log management and analysis
Tools You Will Get Hands-On Practice With
Real Projects, Not Lab Simulations
Every project uses real infrastructure, real cloud accounts and real deployment targets. You will not run commands against a pre-configured demo environment and call it experience.
During the 3 months you will complete projects including:
- 1A fully containerized multi-service application using Docker and Docker Compose
- 2A Kubernetes deployment with services, ingress, ConfigMaps, persistent storage and rolling updates
- 3An end-to-end CI/CD pipeline in Jenkins or GitHub Actions that builds, tests and deploys a containerized app to Kubernetes
- 4AWS infrastructure provisioned entirely with Terraform: VPC, subnets, EC2 instances, security groups and S3 buckets
- 5A monitoring and alerting setup using Prometheus and Grafana tracking real application and infrastructure metrics
- 6A capstone combining all of it: containerize an application, write Terraform to provision the infrastructure, build a pipeline to deploy it, and set up monitoring with dashboards and alerts
These projects go into your portfolio. When a company like Leapfrog, Fusemachines or CloudFactory asks you to "describe a pipeline you have built", you will have screenshots, code and documentation to show.
The Tools You Will Actually Use
You will install, configure, break, fix and build with each tool yourself on real infrastructure — not pre-configured labs.
DevOps Career Scope and Salary in Nepal (2026)
DevOps is one of the highest-paying technical roles in Nepal. Demand is growing faster than the supply of qualified professionals, which means salaries are rising and openings stay unfilled for weeks.
Here is what the current job market looks like based on publicly available listings on Merojob, LinkedIn Nepal, Glassdoor and Kumari Job as of August 2026.
Salary by Experience Level
| Experience level | Typical role | Monthly salary (NPR) |
|---|---|---|
| Intern / trainee | DevOps Intern | 10,000 – 25,000 |
| Fresher (0 – 1 year) | Junior DevOps Engineer | 30,000 – 60,000 |
| Mid-level (2 – 4 years) | DevOps Engineer, Cloud Engineer | 80,000 – 1,50,000 |
| Senior (5+ years) | Senior DevOps Engineer, DevOps Architect | 2,00,000 – 3,50,000+ |
| Remote (international clients) | DevOps / SRE / Cloud Engineer | USD 1,500 – 5,000+/month |
Salary by Specialization
| Specialization | Fresher (NPR/month) | Mid-level (NPR/month) |
|---|---|---|
| CI/CD and automation | 30,000 – 50,000 | 80,000 – 1,30,000 |
| Kubernetes / container orchestration | 35,000 – 60,000 | 1,00,000 – 1,80,000 |
| AWS / cloud infrastructure | 35,000 – 55,000 | 90,000 – 1,60,000 |
| Site reliability engineering (SRE) | 40,000 – 65,000 | 1,20,000 – 2,00,000 |
| Infrastructure as Code (Terraform) | 30,000 – 55,000 | 90,000 – 1,50,000 |
Salary figures vary by company, technical depth, and whether you work for a local startup, an outsourcing firm or a remote international team. These ranges reflect Kathmandu-based roles as of August 2026. Check current listings on Merojob, LinkedIn Jobs Nepal and Glassdoor Nepal for the latest numbers.
Where do DevOps engineers work in Nepal?
At software product companies, outsourcing and staff-augmentation firms, fintech startups, SaaS companies, IT service providers, and increasingly at banks and financial institutions migrating to cloud infrastructure. Leapfrog Technology, Fusemachines, CloudFactory and Cedar Gate Technologies are among the well-known employers with active DevOps teams in Kathmandu. Remote work for US, European and Australian companies is a strong and growing path at significantly higher salary bands.
Roles You Can Apply For After This Course
Course Fee, Batch Details and Payment Options
- Live instructor-led classes, in person at New Baneshwor, Kathmandu or online
- A dedicated AWS sandbox environment for each student throughout the course
- Access to all DevOps tools and lab infrastructure during training
- 6+ hands-on projects including the capstone deployment project
- Project reviews and feedback from the instructor
- Course completion certificate
- Career support: resume review, GitHub portfolio building, interview preparation and placement connections
Available Batches
- Duration
- 3 months
- Weekend Batch
- Saturday and Sunday
- Evening Batch
- Sunday to Friday, 6:00 PM to 8:00 PM
NPR 25,000 upfront is a significant investment. Call +977-9716500918 or book a free counselling session to discuss installment plans.
Common Mistakes We See in Every DevOps Cohort
We have trained 175+ students in this course. These three mistakes come up most often.
Jumping to Kubernetes before being solid on Docker
Kubernetes orchestrates containers. If you do not understand how containers work, what a Dockerfile does, or how Docker networking functions, Kubernetes will be incomprehensible. Every cohort has students who want to skip Module 2 and go straight to "the Kubernetes stuff". We do not allow it. Get Docker right first.
Memorising commands without understanding what they do
Running `kubectl apply -f deployment.yaml` is not the same as understanding what that YAML creates, why you chose a Deployment over a DaemonSet, or what happens when a pod crashes. Interview questions are not "type this command". They are "this pod is stuck in CrashLoopBackOff, what do you do?" Understanding beats memorisation every time.
Building a pipeline that works once and calling it done
A pipeline that deploys your app on a sunny day is not production-ready. What happens when a test fails? When the Docker build cache is stale? When the target environment is down? Real DevOps work is about handling failure gracefully, and the Module 4 capstone forces you to think through those edge cases.
Frequently Asked Questions
Ready to Start?
Talk to a course advisor before you enroll. A free 30-minute counselling session will help you decide whether this course fits your goals, which batch timing works, and what payment option makes sense.
Other Courses at Next Minds
NPR 25,000
Online & on campus